Abstract
In this manuscript, we derived the shifted Jacobi operational matrices of fractional derivatives and integration which are applied for numerical solution of general linear multi-term fractional partial differential equations (FPDEs). A new approach implementing shifted Jacobi operational matrix without using the shifted Jacobi collocation technique is introduced for the numerical solution of multi-term FPDEs. The main characteristic behind this approach is that it reduces such problems to those of solving a system of algebraic equations which greatly simplifying the problem. Further the proposed method needs no discretization of data. The proposed method is applied for solving linear multi-term FPDEs subject to initial conditions and the approximate solutions are obtained for some tested problems. Special attention is given to the comparison of the numerical results obtained by the considered method with those found by other known methods like homotopy analysis (HAM) method. For computation purposes, we use Matlab 2016.
Similar content being viewed by others
References
Aksikas I, Fuxman A, Forbes JF, Winkin J (2013) LQ control design of a class of hyperbolic PDE systems: application to fixed-bed reactor. Automatica 45:1542–1548
Ali S, Bushnaq S, Shah K, Arif M (2017) Numerical treatment of fractional order Cauchy reaction diffusion equations. Chao. Sol. Fractals 103:578–587
Caudrey PJ, Eilbeck IC, Gibbon JD (1975) The sine-Gordon equation as a model classical field theory. Nuovo Cimento 25:497–511
Deghan M, Yousefi YA, Lotfi A (2011) The use of Hes variational iteration method for solving the telegraph and fractional telegraph equations. Commun. Numer. Method. Eng. 27:219–231
Dehghan M, Manafian J, Saadatmandi A (2010) The solution of linear fractional partial differential equations using the homotopy analysis method. Z. Naturforsch 65a:935–949
Doha EH, Bhrawy AH, Hafez RM (2012) On shifted Jacobi spectral method for high-order multi-point boundary value problems. Commun. Nonlinear Sci. Numer. Simul. 17(10):3802–3810
Doha EH, Bhrawy AH, Ezz-Eldien SS (2012) A new Jacobi operational matrix: an application for solving fractional differential equations. Appl. Math. Model. 36:4931–4943
Doha EH, Bhrawy AH, Baleanu D, Ezz-Eldien SS (2014) The operational matrix formulation of the Jacobi Tau approximation for space fractional diffusion equation. Adv. Differ. Equ. 231:1687–1847
Gasea M, Sauer T (2000) On the history of multivariate polynomial interpolation. J. Comp. App.Math. 122:23–35
Hackbusch W (1992) Elliptic differential equations: theory and numerical treatment, volume 18 of Springer series in computational mathematics. Springer, Berlin
Hayat T, Shahzad F, Ayub M (2007) Analytical solution for the steady flow of the third grad fluid in a porous half space. Appl. Math. Model. 31:243–250
Hilfer R (2000) Applications of fractional calculus in physics. World Scientifc Publishing Company, Singapore
Hu Y, Luo Y, Lu Z (2008) Analytical solution of the linear fractional differential equation by Adomian decomposition method. J. Comput. Appl. Math. 215:220–229
Jafari MA, Aminataei A (2010) Improved homotopy purturbation method. Int. Math. Forum. 5(32):1567–1579
Jafari H, Seifi S (2009) Solving a system of nonlinear fractional partial differential equations using homotopy analysis method. Commun. Nonl. Sci. Num. Simun. 14:1962–1969
Jafari H, Seifi S (2009) Homotopy analysis method for solving linear and nonlinear fractional diffusion-wave equation. Common. Nonl. Sci. Numer. Simul. 14(5):2006–2012
Keshavarz E, Ordokhani Y, Razzaghi M (2014) Bernoulli wavelet operational matrix of fractional order integration and its applications in solving the fractional order differential equations. Appl. Math. Model. 38:6038–6051
Khalil H, Khan RA (2014) A new method based on Legendre polynomials for solutions of the fractional twodimensional heat conduction equation. Comput. Math. Appl. 67:1938–1953
Khalil H, Khan RA (2014) A new method based on legendre polynomials for solution of system of fractional order partial differential equations. Int. J. Comput. Math. 91(12):2554–2567
Khalil H, Khan RA, Al Smadi M, Freihat A (2015) Approximation of solution of time fractional order three-dimensional heat conduction problems with Jacobi Polynomials. Punjab Univ. J. Math. 47(1):35–56
Khan Hasib, Alipour M, Khan RA, Tajadodi H, Khan A (2015) On approximate solution of fractional order logistic equations by operational matrices of Bernstein polynomials. J. Math. Comput. Sci. 14:222–232
Kumar D, Singh J, Kumar S (2015) Numerical computation of fractional multi-dimensional diffusion equations by using a modified homotopy perturbation method. J. Assoc. Arab Univ. Basic Appl. Sci. 17:20–26
Li YL (2010) Solving a nonlinear fractional differential equation using Chebyshev wavelets. Nonlinear Sci. Numer. Simul. 15:2284–2292
Linge S, Sundnem J, Hanslien M, Lines GT, Tveito A (2009) Numerical solution of the bidomain equations. Philos. Trans. Ser. A Math. Phys. Eng. Sci. 367:1931–1950
Liu Cheng-shi (2010) The essence of the homotopy analysis method. Appl. Math. Comput. 216(4):1299–1303
Moghadam, AA, Aksikas I, Dubljevic S, Forbes JF (July 5-7, 2010) LQ control of coupled hyperbolic PDEs and ODEs: Application to a CSTR-PFR system,Proceedings of the 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), Leuven, Belgium
Mohamed MA, Torky MSh (2014) Solution of linear system of partial differential equations by Legendre multiwavelet and chebyshev multiwavelet. Int. J. Sci. Innov. Math. Res. 2(12):966–976
Mohebbi A, Abbaszadeh M, Dehghan M (2013) The use of a meshless technique based on collocation and radial basis functions for solving the fractional nonlinear schrodinger equation arising in quantum mechnics. Eng. Anal. Bound. Elem. 37:475–485
Mohyud-Din ST, Noor MA (2009) Homotopy purturbation method for solving partial differential equations. Z. Naturforsch 64a:157–170
Odibat Z, Momani S (2008) A generalized differential transform method for linear partial differential equations of fractional order. Appl. Math. Lett. 21(2):194–199
Oldham KB (2010) Fractional differential equations in electrochemistry. Adv. Eng. Soft. 41:9–12
Oldham KB, Spanier J (1974) The fractional calculus. Academic Press, New York
Parthiban V, Balachandran K (2013) Solutions of system of fractional partial differential equations. Appl. Appl. Math. 8(1):289–304
Polyanin AD (2002) Linear partial differential equations for engineers and scientists. Chapman and Hall/CRC Company Boca Raton, London, New York Washington
Rong LJ, Chang P (2016) Jacobi wavelet operational matrix of fractional integration for solving fractional integro-differential equation. J. Phys. Conf. Ser. 693:012002
Saadatmandi A, Deghan M (2010) A new operational matrix for solving fractional-order differential equation. Comp. Math. Appl. 59:1326–1336
Shah K, Ali A, Khan RA (2015) Numerical solutions of fractional order system of Bagley–Torvik equation using operational matrices. Sindh Univ. Res. J. 47(4):757–762
Shah K, Khalil H, Khan RA (2017) A generalized scheme based on shifted Jacobi polynomials for numerical simulation of coupled systems of multi-term fractional-order partial differential equations. LMS J. Comput. Math. 20(1):11–29
Shah K, Khalil H, Khan RA (2018) Analytical solutions of fractional order diffusion equations by natural transform method. Iran J. Sci. Technol. Trans. Sci. A. 42:1479–1493. https://doi.org/10.1007/s40995-016-0136-2
Singh J, Kumar D, Kumar S (2013) New treatment of fractional Fornberg–Whitham equation via Laplace transform. Ain Sham Eng. J. 4:557–562
Sundnes J, Lines GT, Mardal KA, Tveito A (2002) Multigrid block preconditioning for a coupled system of partial differential equations modeling the electrical activity in the heart. Comput. Method. Biomech. Biomed. Eng. 5(6):397–409
Sundnes J, Lines GT, Tveito A (2005) An operator splitting method for solving the bidomain equations coupled to a volume conductor model for the torso. Math. Biosci. 194(2):233–248
Uddin M, Haq S (2011) RBFs approximation method for time fractional partial differential equations. Commun. Nonlinear Sci. Numer. Simul. 16:4208–4214
Wang Y, Fan Q (2012) The second kind Chebyshev wavelet method for solving fractional differential equation. Appl. Math. Comput. 218:85–92
Wensheng S (2007) Computer simulation and modeling of physical and biological processes using partial differential equations. University of Kentucky Doctoral Dissertations, Lexington
Yang AM, Zhang YZ, Long Y (2013) Te Yang-Fourier transforms to heat-conduction in a semi-infnite fractal bar. Term. Sci. 17(3):707–713
Yang Y, Ma Y, Wang L (2015) Legendre polynomials operational matrix method for solving fractional partial differential equations with variable coefficients. Math. Prob. Eng. 2015:9
Yen BC, Taung YK (1993) Reliability and uncertainty analyses in hydraulic design. American Society of Cival Engineers, New York
Yi MX, Chen YM (2012) Haar wavelet operational matrix method for solving fractional partial differential equations. Appl. Math. Comput. 282(17):229–242
Acknowledgements
We are really thankful to the reviewers for their careful reading and excellent suggestions which improved this paper very well.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by José Tenreiro Machado.
Appendices
Appendix A
In this appendix we recall some well-known definitions and notions.
Definition 4.1
Hilfer (2000) The Riemann–Liouville integral of arbitrary order \(p> 0\) of a function f(t) is defined by
such that the integral on right-hand side converges pointwise on \((0, \infty )\). Also the aforesaid integral satisfies the following relations:
-
(1)
\({\mathcal {I}}^0 f(t)= f(t);\)
-
(2)
\({\mathcal {I}}^p {\mathcal {I}}^q f(t)={\mathcal {I}}^{p+q} f(t);\)
-
(3)
\({\mathcal {I}}^p t^\gamma =\frac{\Gamma (\gamma +1)}{\Gamma (p+\gamma +1)}t^{p+\gamma }.\)
Definition 4.2
Hilfer (2000) For a given function f(t), the Caputo fractional order derivative of order p is defined as
such that the right side is pointwise defined on \((0,\infty )\). Further, the operator \({\mathcal {D}}\) satisfies the following properties in particular for any constant C, \({\mathcal {D}}^{p}C=0\) and
The following relations are necessary throughout this paper:
Theorem 4.3
Hilfer (2000) For any function V(t), the following results hold:
-
(a)
\({\mathcal {I}}^{\alpha }[{\mathcal {D}}^{p}V(t)]=0\) implies that \(V(t)= \sum _{i=0}^{k-1}V^{(i)}\frac{t^i}{\Gamma (i+1)};\)
-
(b)
\({\mathcal {I}}^{p}{\mathcal {D}}^{\alpha }V(t)=V(t)-\sum _{i=0}^{k-1}V^{(i)}\frac{t^i}{\Gamma (i+1)};\)
-
(c)
\({\mathcal {D}}^{p}(\lambda U(t)+\mu V(t))=\lambda {\mathcal {D}}^{\alpha }U(t)+\mu {\mathcal {D}}^{p}V(t).\)
Appendix B
Next the proof of Theorem 2.3 is provided below.
Proof
In order to prove the result, take \(\digamma _{L,n}^{(\eta ,\xi )}(t,x)\) as defined by (8), then the fractional integral of order p of \(\digamma _{L,n}^{(\eta ,\xi )}(t,x)\) with respect to t is given by the relation
which in view of the definition of fractional integrals takes the following form:
Approximating \(t^{n+p}\digamma _{L,b}^{(\eta ,\xi )}(x)\) interm of shifted Jacobi polynomials of two variables, we obtain
where \(S_{i,j,b}=\frac{\delta _{j,b}}{{\mathfrak {R}}_{L,i}^{(\eta ,\xi )},{\mathfrak {R}}_{L,j}^{(\eta ,\xi )}}\int _0^{L}\int _0^{L}t^{n+p}\digamma _{L,b}^{(\eta ,\xi )}(x)\digamma _{L,i}^{(\eta ,\xi )}(t)\digamma _{L,j}^{(\eta ,\xi )}(x){\mathcal {W}}_{L}^{(\eta ,\xi )}(t,x)\mathrm{d}t\mathrm{d}x.\) Which further in view of orthogonality relation as in Doha et al. (2012) implies that
Using the Convolution theorem of Laplace transformation in (44), we have
Taking inverse laplace of (45), we get
Therefore, one can get the coefficient of (42) as
Using(5) and simplifying we get the generalized value as
For simplicity of notation let
Plugging (48),(49)(42) in (41), we get
The above relation (50) can also be written as
Using
one has
Also using \(r=Ki+j+1,\, v=Ka+b+1,\,\prod _{v,r,n}=\Omega _{i,j,b,a,n} \text { for } i,\,j,\,a,\,b=0,1,2,3,...,m\), we get the required result. \(\square \)
Rights and permissions
About this article
Cite this article
Shah, K., Akram, M. Numerical treatment of non-integer order partial differential equations by omitting discretization of data. Comp. Appl. Math. 37, 6700–6718 (2018). https://doi.org/10.1007/s40314-018-0706-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40314-018-0706-3
Keywords
- Shifted Jacobi polynomials
- Partial fractional differential equations
- Algebraic equations
- Numerical solution